CCPortal
DOI10.1007/s00704-018-2457-x
Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula
Ge, Fei1; Peng, Ting2; Fraedrich, Klaus3; Sielmann, Frank4; Zhu, Xiuhua5; Zhi, Xiefei2; Liu, Xiaoran6; Tang, Weiwei7; Zhao, Pengguo1
发表日期2019
ISSN0177-798X
EISSN1434-4483
卷号135期号:3-4页码:1609-1627
英文摘要

The climatological means and surface air temperature (SAT) trends of the Indochina Peninsula (ICP) are being analyzed on a yearly and seasonal basis using a newly published observation dataset (SA-OBS). The SAT for the period 1981 to 2010 shows a north-south gradient over the ICP, with the highest mean annual temperature in the central plain and the lowest in the northern mountain region. In addition, over the past 30years, the ICP has been undergoing a significant warming trend of 0.37 degrees C/decade. The seasonal mean SAT fluctuations are significant in the dry seasons compared to the wet seasons, with a rapid increase in JFM (January to March) and OND (October to December). Further, comparisons are made using SA-OBS and the other observation (CRU, GHCN_CAMS, DEL) or reanalysis (ERA-20C, CERA-20C, ERA-Interim, JRA-55) datasets. The result shows (i) that the SA-OBS dataset can capture the spatial distributions and temporal patterns reasonably well throughout the ICP on annual and seasonal scales. (ii) CERA-20C is very similar to SA-OBS in replicating the annual mean SAT over the ICP, suggesting that the ECMWF's coupled data assimilation system (CERA) could obviously improve the temperature estimates in that region. (iii) That significant differences, however, still exist between observations and reanalyses in annual and seasonal trends. These discrepancies need to be taken into account to study climate change and variability or to assess regional climate models with focus on the ICP.


WOS研究方向Meteorology & Atmospheric Sciences
来源期刊THEORETICAL AND APPLIED CLIMATOLOGY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/90314
作者单位1.Chengdu Univ Informat Technol, Coll Atmospher Sci, Plateau Atmosphere & Environm Key Lab Sichuan Pro, Chengdu, Sichuan, Peoples R China;
2.Nanjing Univ Informat Sci & Technol, KLME, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China;
3.Max Planck Inst Meteorol, Hamburg, Germany;
4.Hamburg Univ, Inst Meteorol, Hamburg, Germany;
5.Hamburg Univ, Klima Campus, Hamburg, Germany;
6.Chongqing Climate Ctr, Chongqing, Peoples R China;
7.Chengdu Univ Informat Technol, Coll Commun Engn, Chengdu, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Ge, Fei,Peng, Ting,Fraedrich, Klaus,et al. Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula[J],2019,135(3-4):1609-1627.
APA Ge, Fei.,Peng, Ting.,Fraedrich, Klaus.,Sielmann, Frank.,Zhu, Xiuhua.,...&Zhao, Pengguo.(2019).Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula.THEORETICAL AND APPLIED CLIMATOLOGY,135(3-4),1609-1627.
MLA Ge, Fei,et al."Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula".THEORETICAL AND APPLIED CLIMATOLOGY 135.3-4(2019):1609-1627.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ge, Fei]的文章
[Peng, Ting]的文章
[Fraedrich, Klaus]的文章
百度学术
百度学术中相似的文章
[Ge, Fei]的文章
[Peng, Ting]的文章
[Fraedrich, Klaus]的文章
必应学术
必应学术中相似的文章
[Ge, Fei]的文章
[Peng, Ting]的文章
[Fraedrich, Klaus]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。